Literature DB >> 8574041

The quantitative relation between T1-weighted and T2-weighted MRI of normal gray matter and iron concentration.

J Vymazal1, M Hajek, N Patronas, J N Giedd, J W Bulte, C Baumgarner, V Tran, R A Brooks.   

Abstract

A retrospective analysis of 158 T1-weighted and T2-weighted MRI scans of normal brains at 0.5 and 1.5 Tesla was performed. Signal intensities in the frontal cortex, caudate nucleus, putamen, and globus pallidus were divided by those of frontal white matter; and these gray/white ratios were correlated with iron concentration, estimated from the anatomical region and age of the patient. Intraregional plots were also made of gray/white ratio versus age for the 1.5 Tesla scans. The changes in both T1-weighted and T2-weighted ratios were consistent with the hypothesis that 1/T1 and 1/T2 vary linearly with iron concentration, and the corresponding coefficients, determined separately from the interregional and intraregional plots, were generally in agreement. Furthermore, the variability of the MRI ratios at 1.5 Tesla was consistent with expected iron variability except for the cortex, in which partial volume errors due to sulci and white matter caused increased variations. The MRI results agreed well with in vitro data on T1 and T2 in tissue specimens and with other MRI studies. When compared with T1 and T2 in ferritin solution, a significant "tissue relaxation enhancement" was found, attributable to slower diffusion and clustering of ferritin in tissue.

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Year:  1995        PMID: 8574041     DOI: 10.1002/jmri.1880050514

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  24 in total

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Authors:  B J Casey; Kathleen M Thomas; Matthew C Davidson; Karen Kunz; Peter L Franzen
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2.  Basal ganglia MR relaxometry in obsessive-compulsive disorder: T2 depends upon age of symptom onset.

Authors:  Stephen Correia; Emily Hubbard; Jason Hassenstab; Agustin Yip; Josef Vymazal; Vit Herynek; Jay Giedd; Dennis L Murphy; Benjamin D Greenberg
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3.  Longitudinal Development of Brain Iron Is Linked to Cognition in Youth.

Authors:  Bart Larsen; Josiane Bourque; Tyler M Moore; Azeez Adebimpe; Monica E Calkins; Mark A Elliott; Ruben C Gur; Raquel E Gur; Paul J Moberg; David R Roalf; Kosha Ruparel; Bruce I Turetsky; Simon N Vandekar; Daniel H Wolf; Russell T Shinohara; Theodore D Satterthwaite
Journal:  J Neurosci       Date:  2020-01-27       Impact factor: 6.167

4.  Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood.

Authors:  J C Pruessner; D L Collins; M Pruessner; A C Evans
Journal:  J Neurosci       Date:  2001-01-01       Impact factor: 6.167

5.  Age-related differences in iron content of subcortical nuclei observed in vivo: a meta-analysis.

Authors:  Ana Daugherty; Naftali Raz
Journal:  Neuroimage       Date:  2012-12-28       Impact factor: 6.556

6.  Quantifications of in vivo labeled stem cells based on measurements of magnetic moments.

Authors:  Paul Kokeny; Yu-Chung N Cheng; Saifeng Liu; He Xie; Quan Jiang
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7.  Age-related changes in tissue signal properties within cortical areas important for word understanding in 12- to 19-month-old infants.

Authors:  Katherine E Travis; Megan M Curran; Christina Torres; Matthew K Leonard; Timothy T Brown; Anders M Dale; Jeffrey L Elman; Eric Halgren
Journal:  Cereb Cortex       Date:  2013-02-28       Impact factor: 5.357

8.  Myelin breakdown and iron changes in Huntington's disease: pathogenesis and treatment implications.

Authors:  George Bartzokis; Po H Lu; Todd A Tishler; Sophia M Fong; Bolanle Oluwadara; J Paul Finn; Danny Huang; Yvette Bordelon; Jim Mintz; Susan Perlman
Journal:  Neurochem Res       Date:  2007-05-05       Impact factor: 3.996

Review 9.  Metalloprotein-based MRI probes.

Authors:  Yuri Matsumoto; Alan Jasanoff
Journal:  FEBS Lett       Date:  2013-01-31       Impact factor: 4.124

10.  Comparison between different software programs and post-processing techniques for the MRI quantification of liver iron concentration in thalassemia patients.

Authors:  Lorenzo Bacigalupo; Francesco Paparo; Daniele Zefiro; Carlo Maria Viberti; Luca Cevasco; Barbara Gianesin; Valeria Maria Pinto; Gian Andrea Rollandi; John C Wood; Gian Luca Forni
Journal:  Radiol Med       Date:  2016-06-22       Impact factor: 3.469

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